AI-driven drug discovery is accelerating the development of new cancer therapies by analyzing vast biological and chemical datasets with unmatched speed. Machine learning models can predict drug targets, optimize molecular structures, and forecast toxicity before laboratory testing. This reduces research time, cost, and failure rates in early-stage development. AI also helps identify new biomarkers and personalize treatment strategies based on patient data. Overall, AI is transforming oncology drug discovery into a faster, smarter, and more precise process.